Triple
T12306485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITPL |
E293365
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | ITPB |
E973162
|
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: ITPB | Statement: [ITPL, alsoKnownAs, ITPB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITPB Context triple: [ITPL, alsoKnownAs, ITPB]
-
A.
ITPB
chosen
ITPB is a major technology and business park in Bangalore, India, housing numerous multinational IT and software companies.
-
B.
IPB
IPB is the commonly used abbreviation for IPB University, a leading agricultural and life sciences university in Indonesia.
-
C.
ITBM
ITBM is a management discipline and set of practices that help organizations plan, govern, and optimize their IT investments and services in alignment with business objectives.
-
D.
ITP
ITP is the commonly used abbreviation for ITP Aero, a Spanish company specializing in the design, manufacture, and maintenance of aircraft engines and gas turbines.
-
E.
ITBP
ITBP is a specialized Indian paramilitary force responsible for guarding the country’s border with China along the Himalayan frontier and performing high-altitude security and disaster relief operations.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f00695c8190b7365e4593631690 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a9d50b081908f0bdb7a2ca2832a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.