Triple
T23508689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haditha killings |
E572355
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Haditha |
—
|
NE NERFINISHED |
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 killings, location, Haditha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haditha Context triple: [Haditha killings, location, 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.
Tayibe
Tayibe is a predominantly Arab city in central Israel, known for its location in the Triangle region and its role as a cultural and economic center for the local Arab community.
-
D.
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.
-
E.
Hadiyya
Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a902c0788190840d7df1b5450b4d |
completed | April 29, 2026, 6:45 a.m. |
Created at: April 17, 2026, 6:07 p.m.