Triple
T7650084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dibrugarh Airport |
E173225
|
entity |
| Predicate | iataCode |
P2569
|
FINISHED |
| Object | DIB |
E173224
|
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: DIB | Statement: [Dibrugarh Airport, iataCode, DIB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIB Context triple: [Dibrugarh Airport, iataCode, DIB]
-
A.
DIB
chosen
DIB is the IATA airport code for Dibrugarh Airport, which serves the city of Dibrugarh in the Indian state of Assam.
-
B.
BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
-
C.
GDI
GDI is a composite index used by the United Nations to measure gender-based disparities in human development outcomes such as health, education, and income.
-
D.
DIBS
DIBS is the costumed blue demon mascot representing DePaul University’s athletic teams, the Blue Demons.
-
E.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70174af248190af6695e127776c02 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21b1ca881908ee73a418d4069a7 |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:58 p.m.