Triple
T15975663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Jahangir |
E387436
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Akbari Sarai |
E359334
|
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: Akbari Sarai | Statement: [Tomb of Jahangir, nearby, Akbari Sarai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akbari Sarai Context triple: [Tomb of Jahangir, nearby, Akbari Sarai]
-
A.
Akbari Sarai
chosen
Akbari Sarai is a Mughal-era caravanserai and architectural complex in Lahore, Pakistan, noted for its historical significance and ornate design.
-
B.
Pakdasht
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
-
C.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
D.
Shela Bagh
Shela Bagh is a railway station in Balochistan, Pakistan, known for serving the historic Quetta–Chaman route through the rugged terrain near the Khojak Pass.
-
E.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572c216c81908f2070d2a87609c2 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8ce7788190a3e0aefc9a29d58a |
completed | May 9, 2026, 11:09 p.m. |
Created at: April 10, 2026, 4:54 a.m.