Triple
T22331130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Wellington |
E552023
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Elora |
E552028
|
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: Elora | Statement: [Centre Wellington, hasCommunity, Elora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elora Context triple: [Centre Wellington, hasCommunity, Elora]
-
A.
Elora
chosen
Elora is a picturesque village in southwestern Ontario, Canada, renowned for its historic limestone architecture and the scenic Elora Gorge along the Grand River.
-
B.
Elora
Elora is a faun character from the Spyro the Dragon video game series who guides and assists Spyro on his adventures in Avalar.
-
C.
Elora Danan
Elora Danan is the prophesied infant princess from the fantasy film "Willow," destined to bring about the downfall of the evil Queen Bavmorda.
-
D.
Vishalgarh
Vishalgarh is a historic hill fort in Maharashtra, India, known for its strategic location and role in Maratha history.
-
E.
Kailasa
Kailasa is the mythic Himalayan mountain realm revered in Hindu tradition as the celestial residence of Lord Shiva and his divine retinue.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1577b555c8190ac61c026ee7dfb2b |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad526a268819084cd7df7d7de1a23 |
completed | May 18, 2026, 9 a.m. |
Created at: April 16, 2026, 8:43 p.m.