Triple
T8025075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Hill (Barnstable, Massachusetts) |
E186833
|
entity |
| Predicate | hasLandformCategory |
P940
|
FINISHED |
| Object | hill in Massachusetts |
—
|
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: hill in Massachusetts | Statement: [Pine Hill (Barnstable, Massachusetts), hasLandformCategory, hill in Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandformCategory Context triple: [Pine Hill (Barnstable, Massachusetts), hasLandformCategory, hill in Massachusetts]
-
A.
hasLandform
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
B.
hasLandformOrigin
Indicates that something originates from, or is formed by, a particular landform.
-
C.
landerType
Indicates the specific kind or category of lander involved in the relationship or action.
-
D.
connectsLandform
Indicates a relationship where one landform serves as a physical link or passage between two or more other landforms.
-
E.
hasMountainousTerrain
Indicates that a location or area possesses predominantly mountainous physical terrain or landscape features.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.