Triple
T21409022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lampa |
E528116
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tiltil |
—
|
NE NERFINISHED |
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: Tiltil | Statement: [Lampa, locatedNear, Tiltil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiltil Context triple: [Lampa, locatedNear, Tiltil]
-
A.
Tiltil
chosen
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
B.
Tilt
Tilt is an American punk rock band known for its melodic hardcore sound and association with the independent label Cargo Music.
-
C.
Tilt
Tilt is a dramatic television series co-written by David Levien that centers on the high-stakes world of professional poker.
-
D.
Tilt
Tilt is a startup company that received venture capital investment from Queensbridge Venture Partners.
-
E.
Til
Til is the first name of Til Schweiger, a prominent German actor, filmmaker, and producer known for his roles in both German cinema and international films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b316a48190ad43394dc35a54e0 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:33 p.m.