Triple
T14937842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morbi district |
E372442
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Morbi |
E144572
|
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: Morbi | Statement: [Morbi district, containsTown, Morbi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morbi Context triple: [Morbi district, containsTown, Morbi]
-
A.
Morbi
chosen
Morbi is a city in the Indian state of Gujarat, known for its ceramic industry and historic architecture along the Machhu River.
-
B.
Mutassim
Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
-
C.
Tabasaran
Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
-
D.
Murge
Murge is a karst plateau region in southern Italy, spanning parts of Apulia and Basilicata and known for its rocky landscapes, ravines, and traditional rural settlements.
-
E.
Scorpion
Scorpion is an American television drama series that follows a team of brilliant misfits who tackle high-tech threats for the U.S. government.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd69df481908d8b1a5e6add0a7b |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:38 a.m.