Triple
T15200950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agen aqueduct |
E363264
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Agen city centre |
E1055480
|
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: Agen city centre | Statement: [Agen aqueduct, locatedNear, Agen city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agen city centre Context triple: [Agen aqueduct, locatedNear, Agen city centre]
-
A.
Agen city center
chosen
Agen city center is the historic and commercial heart of Agen, a southwestern French city known for its medieval architecture, markets, and regional gastronomy.
-
B.
Royal City Centre
Royal City Centre is a major indoor shopping mall serving as one of the primary retail hubs in New Westminster, British Columbia.
-
C.
Taree City Centre
Taree City Centre is a major shopping and commercial complex serving as a key retail hub for the town of Taree in New South Wales, Australia.
-
D.
Centrum
Centrum is the historic city center district of Amsterdam, known for its canals, landmarks, and bustling markets.
-
E.
Centrum
Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.