Triple
T36760907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tower Hills |
E908196
|
entity |
| Predicate | secondAgeEvent |
P200196
|
FINISHED |
| Object | site of Elendil’s tower Elostirion |
—
|
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: site of Elendil’s tower Elostirion | Statement: [The Tower Hills, secondAgeEvent, site of Elendil’s tower Elostirion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondAgeEvent Context triple: [The Tower Hills, secondAgeEvent, site of Elendil’s tower Elostirion]
-
A.
secondOldestEvent
Indicates that an event is the second most ancient or earliest in time within a specified set or sequence of events.
-
B.
secondAgeHistory
Indicates that the subject’s history or events occurred during the second age or second historical period in a defined timeline.
-
C.
secondCreationYear
Indicates the year in which an entity was created for the second time, such as after being recreated, relaunched, or re-established.
-
D.
secondEventLocation
Indicates the location where the second event in a sequence takes place.
-
E.
secondCaptureYear
Indicates the year in which an entity was captured for the second time.
- 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff79e7206c8190a809b5f2a6261378 |
completed | May 9, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69ff798356b881908645074fb3a96517 |
completed | May 9, 2026, 6:14 p.m. |
| PDg | Predicate description generation | batch_69ff79e645c08190a974b5239efac35b |
completed | May 9, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.