Triple
T18365598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kankaria Zoo |
E440036
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Maninagar |
—
|
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: Maninagar | Statement: [Kankaria Zoo, locatedIn, Maninagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maninagar Context triple: [Kankaria Zoo, locatedIn, Maninagar]
-
A.
Maninagar
chosen
Maninagar is a prominent suburban neighborhood and railway hub in Ahmedabad, Gujarat, serving as a key commuter and transit point in the city.
-
B.
Gandhinagar
Gandhinagar is a planned city in western India known for serving as the administrative and political center of the state of Gujarat.
-
C.
Machhlishahr
Machhlishahr is a town and administrative subdivision in the Jaunpur district of Uttar Pradesh, India, known for its local markets and regional connectivity.
-
D.
Bhopal
Bhopal is the capital city of the Indian state of Madhya Pradesh, known for its historic lakes, administrative importance, and the site of the 1984 industrial disaster.
-
E.
Surat
Surat is a historic port city in the Indian state of Gujarat that became an important center of trade and commerce during the Mughal and early colonial periods.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5174d31608190851a5bab6878c203 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:38 a.m.