Triple
T32429391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo, Leyte |
E828676
|
entity |
| Predicate | wasLandingSiteOf |
P174071
|
FINISHED |
| Object | General Douglas MacArthur |
—
|
NE NERFINISHED |
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: General Douglas MacArthur | Statement: [Palo, Leyte, wasLandingSiteOf, General Douglas MacArthur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLandingSiteOf Context triple: [Palo, Leyte, wasLandingSiteOf, General Douglas MacArthur]
-
A.
wasLandingSiteIn
Indicates that a specific landing event occurred at or within the location denoted by the related entity.
-
B.
wasLandingSiteDuring
Indicates that a location served as the landing site for a particular event, mission, or vehicle during a specified time or context.
-
C.
firstLandingSite
Indicates the location where an entity initially arrives, lands, or touches down before any subsequent movements or landings.
-
D.
hasMainLandingSite
Indicates that an entity has a primary or principal location where it arrives, lands, or makes contact.
-
E.
wasLandingSiteForAstronaut
Indicates that a particular location served as the landing site for an astronaut.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c2aa0d1c8190a4e207ed16f4b2a8 |
completed | May 3, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:54 a.m.