Triple
T5756112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frant railway station |
E126971
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | FRT |
E71252
|
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: FRT | Statement: [Frant railway station, hasStationCode, FRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FRT Context triple: [Frant railway station, hasStationCode, FRT]
-
A.
FRT
chosen
FRT is the stock ticker symbol for Federal Realty Investment Trust, a publicly traded real estate investment trust specializing in high-quality retail and mixed-use properties.
-
B.
FJT
FJT is the standard time zone used in Fiji, typically 12 hours ahead of Coordinated Universal Time (UTC+12) and sometimes observing daylight saving time.
-
C.
FRO
FRO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Faroe Islands.
-
D.
FTU
FTU is a leading Vietnamese university renowned for its programs in economics, business, and international trade.
-
E.
FT
FT is the Faculty of Theology at the University of Geneva, a higher education institution specializing in theological and religious studies.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02906848c8190bf7b0d62f57c27fa |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e47c1788190b5883df385475237 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:49 p.m.