Triple
T36547612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nauglamír |
E901176
|
entity |
| Predicate | locationDuringFirstAge |
P34568
|
FINISHED |
| Object | Nargothrond |
E274335
|
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: Nargothrond | Statement: [Nauglamír, locationDuringFirstAge, Nargothrond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationDuringFirstAge Context triple: [Nauglamír, locationDuringFirstAge, Nargothrond]
-
A.
residenceAtStartOfFilm
Indicates the place where a person or character is living at the beginning of the film.
-
B.
createdDuringResidenceIn
Indicates that something was created by an entity while that entity was residing in a particular place or location.
-
C.
placeOfUpbringing
Indicates the location where an individual was raised or spent most of their formative years.
-
D.
locationSince
Indicates that an entity has been located at a particular place continuously since a specified point in time.
-
E.
residenceDuringLife
chosen
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
- F. None of above.
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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40636e6ad08190a06a044a7b91122a |
completed | June 27, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.