Triple
T14980312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahij Governorate |
E373556
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Lahij |
E1130807
|
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: Lahij | Statement: [Lahij Governorate, hasMajorCity, Lahij]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahij Context triple: [Lahij Governorate, hasMajorCity, Lahij]
-
A.
Lahij
chosen
Lahij is a historic town in southwestern Yemen known for its role as an administrative and cultural center in the region.
-
B.
Lahijan
Lahijan is a prominent city in Iran’s Gilan Province, known for its lush tea plantations, scenic Caspian Sea–adjacent landscapes, and role as a regional cultural and economic center.
-
C.
Jajrud
Jajrud is a river in northern Iran that flows through the Alborz Mountains toward the Tehran region.
-
D.
Jolfa
Jolfa is a border city in northwestern Iran, situated along the Aras River near the frontier with Armenia and Azerbaijan, known as a regional trade and transit hub.
-
E.
Shahrbani
Shahrbani was the former national police force of Iran responsible for maintaining public order and security before being merged into the current Law Enforcement Command of the Islamic Republic of Iran.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fcebf481909f72cab577560d82 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9694aa688190bbecb645c49e795e |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:52 a.m.