Triple
T4690800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INSTRAW |
E104028
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | INSTRAW |
E104028
|
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: INSTRAW | Statement: [INSTRAW, acronym, INSTRAW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INSTRAW Context triple: [INSTRAW, acronym, INSTRAW]
-
A.
INSTRAW
chosen
INSTRAW (the United Nations International Research and Training Institute for the Advancement of Women) was a UN body dedicated to research, training, and knowledge-sharing on gender equality and women’s empowerment worldwide.
-
B.
IN-TR
IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
-
C.
Infusion
Infusion is a suspended looping roller coaster at Blackpool Pleasure Beach in the UK, notable for being built entirely over water.
-
D.
INST
INST is the stock ticker symbol for Instructure, an education technology company best known for its Canvas learning management system.
-
E.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd639ae1c08190a1c79ccbdf5f24ac |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ba56f88190bc9f6da051b5052f |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:16 p.m.