Triple
T16348641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homme de Fer tram stop |
E397000
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | CTS |
E341672
|
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: CTS | Statement: [Homme de Fer tram stop, operator, CTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTS Context triple: [Homme de Fer tram stop, operator, CTS]
-
A.
CTS
CTS is the acronym for the Council for Trade in Services, a World Trade Organization body responsible for overseeing the implementation and functioning of global rules on trade in services.
-
B.
CTS
chosen
CTS is the public transport operator responsible for running Strasbourg’s tram and bus network in France.
-
C.
CTS
CTS is the IATA airport code for New Chitose Airport, the main international gateway serving Sapporo and the Hokkaido region of Japan.
-
D.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
-
E.
CTI
CTI is the French national accreditation body responsible for evaluating and authorizing engineering degree programs.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da10ef64819092633e8b32e98f5d |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db40e0481908d919f2285e48a23 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.