Triple
T2305933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of the Unknown Soldier (Paris) |
E51837
|
entity |
| Predicate | hasEternalFlameSince |
P21128
|
FINISHED |
| Object | 1923 |
—
|
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: 1923 | Statement: [Tomb of the Unknown Soldier (Paris), hasEternalFlameSince, 1923]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEternalFlameSince Context triple: [Tomb of the Unknown Soldier (Paris), hasEternalFlameSince, 1923]
-
A.
hasEternalFlame
chosen
Indicates that an entity possesses or maintains a flame that is intended to burn perpetually without being extinguished.
-
B.
hasFireHistory
Indicates that an entity has experienced one or more fire events in the past.
-
C.
hasFumaroles
Indicates the presence of fumaroles (openings emitting volcanic gases or steam) associated with an entity.
-
D.
hasLastEruptionCentury
Indicates the century during which the most recent eruption of a volcano (or eruptive feature) occurred.
-
E.
existsSince
Indicates that an entity has been in existence or valid from a specified point in time onward.
- F. None of above.
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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.