Triple
T5970217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Camino Real (California) |
E132852
|
entity |
| Predicate | hasRoadSign |
P66816
|
FINISHED |
| Object | El Camino Real bell marker signs |
—
|
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: El Camino Real bell marker signs | Statement: [El Camino Real (California), hasRoadSign, El Camino Real bell marker signs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadSign Context triple: [El Camino Real (California), hasRoadSign, El Camino Real bell marker signs]
-
A.
roadSignageIndicates
Indicates that a piece of road signage conveys, displays, or communicates specific information, instructions, or warnings about road conditions or regulations.
-
B.
roadSignCode
Indicates the specific regulatory or informational code assigned to a road sign that defines its meaning or instruction.
-
C.
hasTrafficSignals
Indicates that traffic control signals are present at or associated with a given location or roadway feature.
-
D.
hasHazardSignage
Indicates that appropriate warning or hazard signs are present to alert people to potential dangers associated with the entity.
-
E.
hasRoadPass
Indicates that an entity possesses a valid authorization or permit required to use a specific road or road network.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03e174c7c8190b04113f6529f5f0e |
completed | March 22, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69c0335b55a48190927a5b1529edb542 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03e16476481908361fbb3049664e9 |
completed | March 22, 2026, 7:08 p.m. |
Created at: March 22, 2026, 4:03 p.m.