Triple
T18703035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond I of Tripoli |
E457298
|
entity |
| Predicate | tookTheCross |
P132357
|
FINISHED |
| Object | 1096 |
—
|
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: 1096 | Statement: [Raymond I of Tripoli, tookTheCross, 1096]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookTheCross Context triple: [Raymond I of Tripoli, tookTheCross, 1096]
-
A.
GoodFridayPilgrims
Indicates a relationship where certain individuals participate in or are associated with a pilgrimage specifically occurring on Good Friday.
-
B.
martyr
Indicates that an entity is killed or suffers greatly, typically for a belief, cause, or principle, often being regarded or treated as a martyr as a result.
-
C.
tinctureOfCross
Indicates that something is a tincture (heraldic color or pattern) specifically applied to a cross in a coat of arms or similar symbolic design.
-
D.
tinctureOfCrosses
Indicates a heraldic design in which a field or charge is patterned or strewn with multiple small crosses as a repeated motif.
-
E.
takenUpToHeaven
Indicates that an entity has been carried or ascended from an earthly or mortal realm into a heavenly or divine realm.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56714d0588190ac050356bc2784fd |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:49 a.m.