Triple
T7840064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad al-Jawad |
E181782
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Kadhimayn |
E297143
|
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: Kadhimayn | Statement: [Muhammad al-Jawad, burialPlace, Kadhimayn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadhimayn Context triple: [Muhammad al-Jawad, burialPlace, Kadhimayn]
-
A.
Kadhimiya
chosen
Kadhimiya is a historic district in northern Baghdad, Iraq, known for its important Shia Islamic shrines and religious significance.
-
B.
Kadmat
Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
-
C.
Kuteb
Kuteb are an indigenous ethnic group primarily inhabiting parts of present-day Taraba State in eastern Nigeria, known for their distinct language and traditional cultural practices.
-
D.
Karam
Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
-
E.
Kifri
Kifri is a town in Iraq with a significant Iraqi Turkmen population and cultural presence.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5aca5e348190bb73fc4748093248 |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.