Triple
T15703407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagan |
E380648
|
entity |
| Predicate | worshipPlace |
P1191
|
FINISHED |
| Object | Terqa |
E1171869
|
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: Terqa | Statement: [Dagan, worshipPlace, Terqa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terqa Context triple: [Dagan, worshipPlace, Terqa]
-
A.
Terqa
chosen
Terqa was an ancient Mesopotamian city on the middle Euphrates, serving as a regional political and commercial center in what is now eastern Syria.
-
B.
Taza
Taza was a 19th-century Apache leader and the son of the famous chief Cochise, known for succeeding his father as a chief of the Chiricahua Apache.
-
C.
Taza
Taza is a historic city in northern Morocco known for its strategic location between the Rif and Middle Atlas mountains and its role as a key passage linking eastern and western Morocco.
-
D.
Kerketeas
Kerketeas is a prominent mountain on the Greek island of Samos, known for its rugged terrain and significant elevation.
-
E.
Mengistu
Mengistu is a male given name of Ethiopian origin, notably borne by several prominent Ethiopian political and military figures.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6e965881909319f85c51c6fb74 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f05d648190a0c73b60dc027287 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.