Triple
T293126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel |
E6036
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Haifa |
E12305
|
NE FINISHED |
How this triple was built (2 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: Haifa | Statement: [Israel, majorCity, Haifa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haifa Context triple: [Israel, majorCity, Haifa]
-
A.
Haifa
chosen
Haifa is a major Israeli city on the Mediterranean coast, known for its significant port, mixed Jewish-Arab population, and the terraced Baháʼí Gardens on Mount Carmel.
-
B.
Tel Aviv
Tel Aviv is a major Israeli coastal city known for its vibrant nightlife, high-tech industry, and modernist architecture.
-
C.
Tiberias
Tiberias is an ancient city in northern Israel on the western shore of the Sea of Galilee, historically significant as a major center of Jewish learning and pilgrimage.
-
D.
Gaza City
Gaza City is a densely populated urban center on the Mediterranean coast that serves as the political, economic, and cultural hub of the Gaza Strip.
-
E.
Ramat Gan
Ramat Gan is a city in the Tel Aviv District of Israel, known for its diamond exchange district, business centers, and large urban park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e976f32081908042485c4530e1e2 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e011b4f08190a859bde5bdd40f21 |
completed | March 1, 2026, 6:43 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.