Triple
T11805631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldia Town |
E280739
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | SITE Industrial Area |
E56694
|
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: SITE Industrial Area | Statement: [Baldia Town, adjacentTo, SITE Industrial Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SITE Industrial Area Context triple: [Baldia Town, adjacentTo, SITE Industrial Area]
-
A.
SITE Industrial Area
chosen
SITE Industrial Area is one of Karachi’s largest and oldest industrial zones, hosting a wide range of manufacturing and commercial enterprises.
-
B.
Industrial Area A
Industrial Area A is a major industrial hub in Ludhiana, Punjab, known for its dense concentration of manufacturing and textile units.
-
C.
Sikka industrial area
Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
-
D.
Kota industrial area
Kota industrial area is a key industrial hub in Rajasthan, India, hosting a concentration of manufacturing and processing units that support the region’s economic activity.
-
E.
Focal Point industrial area
Focal Point industrial area is a major industrial hub in Ludhiana, Punjab, known for its concentration of manufacturing and engineering units.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1315b4b1481908106984a1362be89 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.