Triple
T5937404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coachella |
E132076
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Thermal |
E132080
|
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: Thermal | Statement: [Coachella, locatedNear, Thermal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thermal Context triple: [Coachella, locatedNear, Thermal]
-
A.
Thermal
chosen
Thermal is an unincorporated community in California’s Coachella Valley, known for its desert climate and proximity to agricultural and resort areas.
-
B.
Termal
Termal is a district in Turkey’s Yalova Province renowned for its natural hot springs and thermal spa resorts.
-
C.
Thermi
Thermi is a suburban town near Thessaloniki in northern Greece, known for hosting educational and research facilities as well as residential and commercial developments.
-
D.
Heat
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
E.
Heat
Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038eca9688190adeed21df058daf1 |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c06f979881908d7e98ee674f1ff2 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.