Triple
T18438072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korangi Creek |
E450446
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Landhi Industrial Area |
E280148
|
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: Landhi Industrial Area | Statement: [Korangi Creek, near, Landhi Industrial Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landhi Industrial Area Context triple: [Korangi Creek, near, Landhi Industrial Area]
-
A.
Landhi Industrial Area
chosen
Landhi Industrial Area is a major industrial zone in Karachi, Pakistan, known for its large concentration of manufacturing and processing industries.
-
B.
Okhla Industrial Area
Okhla Industrial Area is a major industrial and commercial hub in South Delhi, known for its manufacturing units, offices, and business parks.
-
C.
Naraina Industrial Area
Naraina Industrial Area is a major industrial and commercial hub in West Delhi, India, known for its manufacturing units, warehouses, and business establishments.
-
D.
Serasa Industrial Area
Serasa Industrial Area is a key industrial and commercial hub in Brunei’s Brunei-Muara District, hosting various manufacturing, logistics, and port-related facilities.
-
E.
Gajuwaka industrial area
Gajuwaka industrial area is a major industrial hub in Visakhapatnam, Andhra Pradesh, known for its concentration of heavy industries, manufacturing units, and related infrastructure.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c0ed6708190ae90efd8455ec352 |
completed | April 19, 2026, 6:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fdb4c648190aa56212c3c1e15ce |
completed | May 13, 2026, 5:44 a.m. |
Created at: April 10, 2026, 11:29 a.m.