Triple
T15962931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haditha Dam |
E387106
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Haditha |
E138037
|
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: Haditha | Statement: [Haditha Dam, locatedNear, Haditha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haditha Context triple: [Haditha Dam, locatedNear, Haditha]
-
A.
Haditha
chosen
Haditha is a city in western Iraq known for its strategic location along the Euphrates River and its nearby hydroelectric dam and reservoir.
-
B.
Rumaitha
Rumaitha is a town in southern Iraq notable as one of the centers of resistance during the 1920 Iraqi revolt against British rule.
-
C.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
-
D.
Hadiyya
Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
-
E.
Sawila
Sawila is a Papuan language spoken on Alor Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157013cfc819099fa83de85273710 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf16b1b881909768d18b889260da |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.