Triple
T9744815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Race Point Light |
E236279
|
entity |
| Predicate | replacedEarlierLight |
P90467
|
FINISHED |
| Object | yes |
—
|
LITERAL 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: yes | Statement: [Race Point Light, replacedEarlierLight, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedEarlierLight Context triple: [Race Point Light, replacedEarlierLight, yes]
-
A.
replacedEarlierTitle
Indicates that one title or designation has been superseded by an earlier title that it replaced in a sequence of naming or labeling.
-
B.
replacedEarlierSystems
Indicates that one system has taken the place of and superseded other systems that existed or were in use before it.
-
C.
laterLightSource
Indicates that one light source occurs or is activated after another in time.
-
D.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
E.
hasLightingImprovements
Indicates that an entity has enhancements or upgrades made to its lighting conditions or systems.
- F. None of above. chosen
Provenance (4 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69cd03cc128c81908b84ef224f858b4e |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:23 p.m.