Triple
T22147435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Engineering Services |
E547323
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ESE |
—
|
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: ESE | Statement: [Indian Engineering Services, shortName, ESE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESE Context triple: [Indian Engineering Services, shortName, ESE]
-
A.
ESE
chosen
ESE is a highly competitive Indian national-level examination conducted by the Union Public Service Commission to recruit engineers for prestigious technical and managerial positions in various government departments and public sector organizations.
-
B.
ESU
ESU is a public university in Emporia, Kansas, known for its programs in education, business, and liberal arts.
-
C.
ESU
ESU is a specialized police emergency response unit that handles high-risk situations such as tactical operations, rescues, and hazardous incidents.
-
D.
ES-LE
ES-LE is the ISO 3166-2 subdivision code that identifies the province of León in Spain.
-
E.
EES
EES is the European Union’s Entry/Exit System, a large-scale IT platform that records and manages data on non-EU nationals crossing the external borders of the Schengen Area.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f156988190bc9a24a37418e849 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.