Triple
T3296446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Carmel |
E69227
|
entity |
| Predicate | hasCityOnSlopes |
P39554
|
FINISHED |
| Object |
Tirat Carmel
Tirat Carmel is a coastal city in northern Israel situated near Haifa on the slopes of Mount Carmel.
|
E344037
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tirat Carmel | Statement: [Mount Carmel, hasCityOnSlopes, Tirat Carmel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tirat Carmel Context triple: [Mount Carmel, hasCityOnSlopes, Tirat Carmel]
-
A.
Ur Kasdim
Ur Kasdim is the ancient Mesopotamian city traditionally identified in the Hebrew Bible as the birthplace of the patriarch Abraham.
-
B.
Har HaTzofim
Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
-
C.
El Gamaliya
El Gamaliya is a historic district in central Cairo, Egypt, known for its dense traditional markets, medieval Islamic architecture, and cultural landmarks.
-
D.
Shaar HaTziyun
Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
-
E.
Mishmar HaGvul
Mishmar HaGvul is Israel’s gendarmerie-style border police force responsible for security, counterterrorism, and law enforcement in border and sensitive areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tirat Carmel Triple: [Mount Carmel, hasCityOnSlopes, Tirat Carmel]
Generated description
Tirat Carmel is a coastal city in northern Israel situated near Haifa on the slopes of Mount Carmel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tirat Carmel Target entity description: Tirat Carmel is a coastal city in northern Israel situated near Haifa on the slopes of Mount Carmel.
-
A.
Ur Kasdim
Ur Kasdim is the ancient Mesopotamian city traditionally identified in the Hebrew Bible as the birthplace of the patriarch Abraham.
-
B.
Har HaTzofim
Har HaTzofim is the Hebrew name for Mount Scopus, a prominent ridge in northeast Jerusalem known for its historic, strategic, and academic significance.
-
C.
El Gamaliya
El Gamaliya is a historic district in central Cairo, Egypt, known for its dense traditional markets, medieval Islamic architecture, and cultural landmarks.
-
D.
Shaar HaTziyun
Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
-
E.
Mishmar HaGvul
Mishmar HaGvul is Israel’s gendarmerie-style border police force responsible for security, counterterrorism, and law enforcement in border and sensitive areas.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb078f3dc8190afb624f62894e48f |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86e867c8190a1e5042a4d4d92cb |
completed | March 12, 2026, 4:23 p.m. |
| NEDg | Description generation | batch_69b2e8e42ecc8190b81d1b64f9fba0c1 |
completed | March 12, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2e954ec18819096f31feb9e985b6a |
completed | March 12, 2026, 4:27 p.m. |
Created at: March 8, 2026, 3:10 p.m.