Triple
T9437752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awash River |
E227557
|
entity |
| Predicate | majorCityOnRiver |
P316
|
FINISHED |
| Object |
Metehara
Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
|
E799778
|
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: Metehara | Statement: [Awash River, majorCityOnRiver, Metehara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metehara Context triple: [Awash River, majorCityOnRiver, Metehara]
-
A.
Hamra
Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
-
B.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Asarluhi
Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
-
E.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
- 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: Metehara Triple: [Awash River, majorCityOnRiver, Metehara]
Generated description
Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metehara Target entity description: Metehara is a town in central Ethiopia known for its sugar plantations and proximity to both the Awash National Park and Lake Basaka.
-
A.
Hamra
Hamra is a vibrant, cosmopolitan neighborhood in Beirut, Lebanon, known for its bustling commercial streets, cafes, and cultural life.
-
B.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Asarluhi
Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
-
E.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7edff5e881909b72976e8909ba4b |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11053d8008190a29575149d2e027f |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d111a770c881909a2902d36cd7913c |
completed | April 4, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 7:50 p.m.